Discussions

Hi there,

I noticed that the sum of device counts in DEVICE_TYPE is often greater than the total number of visitors in RAW_VISITOR_COUNTS. As in the first row of the data preview, the raw visit counts is 5, but the Device Type has an entry of {"android":4,"ios":4}", which I interpreted as 4 android devices and 4 iOS devices. How are device types registered to each POI and is the reason the sum of device counts higher than the total number of raw visitors because each visitor can bring multiple devices to the location? Or if a focal visitor makes several trips to the given POI, is it possible that their devices are counted multiple times?

What census year is the census block group home for visitors from? I am working with a dataset from NY, and it has 16208 CBGs. The 2020 census for NY reports 16070 CBGs

We noticed that the number of visits reported in the "VISITOR_HOME_CBGS" column shows unexpected jumps from March 2023 through November 2024 in the monthly footprint data; before this period, the data looks normal. The values in this column are not even close to those in the "RAW_VISITOR_COUNTS" column. Ideally, these two columns should have similar, if not identical, values. However, we observed a significant discrepancy, which we have highlighted in red in the attached CSV file as an example. We would greatly appreciate any insights you could provide regarding potential reasons for this inconsistency and whether there is a known explanation for such a pattern. We have observed a similar trend in the weekly mobility data, although the variation there is much less pronounced than in the monthly data.

Dear Dewey team,

The March 2025 and May 2025 files seem not available for downloading. If we run a date range from 2025-02-01 to 2025-06-01, only Feb and Apr files are found. March and May files are missing.

Hello,

May I check when the Foot Traffic / Monthly Patterns data is updated? For example, when will the May 2025 and June 2025 data be available for download?

Hi all
I'm working with Dewey’s monthly foot traffic data and trying to understand the related_same_month_brand column. It looks like it’s a dictionary with brand names and integers, e.g., {Walmart: 3365}.

I previously downloaded data from this product last month that went up to May 2025 (max partition key of 202505). Now the latest partition key is Feb 2025. I downloaded the most files and confirmed that the latest DATE_RANGE_START is indeed Feb 2025.